Director of Chief Data Scientist

Data Team Washington, District Of Columbia


Position at Al Jazeera Media Network

The Director Chief Data Scientist is responsible for driving product and business innovation by developing and implement strategic plans
to collect, process and derive actionable insights from the vast user behavior data sets that are generated by the Digital Division's products. The role will manage teams that build the analytics and visualization infrastructure.

The Director Chief Data Scientist role's success will be measured by enabling enhanced insights, audience behavior, content delivery optimization and ad targeting across the entire digital product line.

The individual will be the company's internal evangelist for data driven decision making -- who's thought leadership and passion for data science motivates his/her team and the rest of the organization to embrace and derive value from data science in their daily operations.

Key Responsibilities and Accountabilities:

  • Oversee all Data Science & Machine Learning across the company, including deploying data science to drive customer success, marketing optimization and product innovation.
  • Oversee the Data Science and Data Engineering roadmap based on the agreed upon priorities working with all divisions. Manage multiple projects in parallel and oversee their completion from start to finish, setting goals and project milestones.
  • Build, grow, and manage an international team of data scientists, including experts in modeling, machine learning, data mining, computer science, and Natural Language Processing (NLP).
  • Acquire and train new talent to develop future managers and leaders.
  • Maximize professional development, personal contribution, and performance of employees.
  • Partner with Engineering leadership to design a world-class machine learning infrastructure and production environment.
  • Help select the right technologies and partners to maintain flexibility and deliver high business value and results.
  • Champion a data-driven culture and long-term business value creation through development of best-in class data science capabilities.
  • The ideal candidate will develop and execute a strategy in addition to making hands on contributions from time totime as needed. Apply statistics, clustering, modeling, and machine learning algorithms to complex business problems
  • Leverage cloud technologies.
  • Develop partnerships with academic leaders and research centers in data science, machine learning,video/photo processing/analysis and Natural Language Processing to ensure weare leveraging best-in- class techniques, algorithms, and technologies.
  • Design optimal architecture and select the most appropriate technology stack, modeling techniques and data visualization to
    achieve the Companies business objectives.
  • Closely work with customers, partners, and production teams to enhance the solution and systems, troubleshooting data issues, etc.
  • Demonstrate up-to-date expertise in Software Engineering and
    applies this to the development, execution, and improvement of action plans.
  • Initiate and participate in projects in the area of prediction, optimization, and processes using advanced statistical / mathematical approaches, in the enterprise environment.
Job Requirements / Qualifications:
  • Ph.D. or MS in Computer Science, Engineering, Statistics, Applied Math or related topics
  • 15 years' experience with data analytics in digital media or relevant field where analytics, machines learning and modelling play an important role.
  • Strong background in Machine Learning (Deep Learning) with experience with one or more machine learning or statistical modeling tools (R, Python, MATLAB etc...).
  • Experience in statistical modeling, machine learning, or data mining practice.
  • Experience in SQL, relational databases, database concepts, dimensional modeling and database design.
  • Proficient in one or more programming languages such as Java, C++, Python, JavaScript.
  • Experience with Big Data tools like NoSQL, Hadoop, Cloudera,
    MongoDB, Spark, Pentaho etc.
  • Production implementation experience.
  • Nice to have experience with media, news or content origination including audio and video metadata